Meng Qifeng, S. Kai, Z. Li-pan, Ning Ning, Huang Huabin
{"title":"碳纤维增强复合材料磁感应层析成像缺陷研究","authors":"Meng Qifeng, S. Kai, Z. Li-pan, Ning Ning, Huang Huabin","doi":"10.1080/09349847.2020.1745340","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study proposed a new magnetic induction tomography (MIT) sensor-based electromagnetic induction to reconstruct the conductivity distribution of target conductors and ultimately visualize carbon fiber reinforced plastic (CFRP) plates to measure their defects. This unique MIT sensor was designed for all coil centers located in one line, whereas perpendicular center lines of excitation and detection coils were simulated in a 3D finite element model. The parameters of frequencies, turns, excitation currents, and liftoffs were optimized to further improve sensitivity. Four broken wire defects at different depths were also inspected in an experiment and imaged by the Landweber algorithm. The new probe effectively identified the 4 mm × 4 mm × 0.5 mm defect buried at 1.5 mm. The different depths of defects were also established by the voltage amplitude of the detection coil. The concavity of the reconstructed images effectively represented the depths of the defects. Hence, this MIT probe is highly useful in quantitatively measuring the defects of CFRP plates and visually displaying.","PeriodicalId":54493,"journal":{"name":"Research in Nondestructive Evaluation","volume":"26 1","pages":"203 - 215"},"PeriodicalIF":1.0000,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study of Defects in Carbon Fiber Reinforced Composites Visualized by Magnetic Induction Tomography\",\"authors\":\"Meng Qifeng, S. Kai, Z. Li-pan, Ning Ning, Huang Huabin\",\"doi\":\"10.1080/09349847.2020.1745340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This study proposed a new magnetic induction tomography (MIT) sensor-based electromagnetic induction to reconstruct the conductivity distribution of target conductors and ultimately visualize carbon fiber reinforced plastic (CFRP) plates to measure their defects. This unique MIT sensor was designed for all coil centers located in one line, whereas perpendicular center lines of excitation and detection coils were simulated in a 3D finite element model. The parameters of frequencies, turns, excitation currents, and liftoffs were optimized to further improve sensitivity. Four broken wire defects at different depths were also inspected in an experiment and imaged by the Landweber algorithm. The new probe effectively identified the 4 mm × 4 mm × 0.5 mm defect buried at 1.5 mm. The different depths of defects were also established by the voltage amplitude of the detection coil. The concavity of the reconstructed images effectively represented the depths of the defects. Hence, this MIT probe is highly useful in quantitatively measuring the defects of CFRP plates and visually displaying.\",\"PeriodicalId\":54493,\"journal\":{\"name\":\"Research in Nondestructive Evaluation\",\"volume\":\"26 1\",\"pages\":\"203 - 215\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2020-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Nondestructive Evaluation\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1080/09349847.2020.1745340\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATERIALS SCIENCE, CHARACTERIZATION & TESTING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Nondestructive Evaluation","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1080/09349847.2020.1745340","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
Study of Defects in Carbon Fiber Reinforced Composites Visualized by Magnetic Induction Tomography
ABSTRACT This study proposed a new magnetic induction tomography (MIT) sensor-based electromagnetic induction to reconstruct the conductivity distribution of target conductors and ultimately visualize carbon fiber reinforced plastic (CFRP) plates to measure their defects. This unique MIT sensor was designed for all coil centers located in one line, whereas perpendicular center lines of excitation and detection coils were simulated in a 3D finite element model. The parameters of frequencies, turns, excitation currents, and liftoffs were optimized to further improve sensitivity. Four broken wire defects at different depths were also inspected in an experiment and imaged by the Landweber algorithm. The new probe effectively identified the 4 mm × 4 mm × 0.5 mm defect buried at 1.5 mm. The different depths of defects were also established by the voltage amplitude of the detection coil. The concavity of the reconstructed images effectively represented the depths of the defects. Hence, this MIT probe is highly useful in quantitatively measuring the defects of CFRP plates and visually displaying.
期刊介绍:
Research in Nondestructive Evaluation® is the archival research journal of the American Society for Nondestructive Testing, Inc. RNDE® contains the results of original research in all areas of nondestructive evaluation (NDE). The journal covers experimental and theoretical investigations dealing with the scientific and engineering bases of NDE, its measurement and methodology, and a wide range of applications to materials and structures that relate to the entire life cycle, from manufacture to use and retirement.
Illustrative topics include advances in the underlying science of acoustic, thermal, electrical, magnetic, optical and ionizing radiation techniques and their applications to NDE problems. These problems include the nondestructive characterization of a wide variety of material properties and their degradation in service, nonintrusive sensors for monitoring manufacturing and materials processes, new techniques and combinations of techniques for detecting and characterizing hidden discontinuities and distributed damage in materials, standardization concepts and quantitative approaches for advanced NDE techniques, and long-term continuous monitoring of structures and assemblies. Of particular interest is research which elucidates how to evaluate the effects of imperfect material condition, as quantified by nondestructive measurement, on the functional performance.